Dr. Julian Krumeich
Dr. Julian Krumeich
Software AG
Bestätigte E-Mail-Adresse bei softwareag.com
Titel
Zitiert von
Zitiert von
Jahr
Analyzing the business model concept—a comprehensive classification of literature
T Burkhart, J Krumeich, D Werth, P Loos
2462011
Advanced user assistance systems
A Maedche, S Morana, S Schacht, D Werth, J Krumeich
Business & Information Systems Engineering 58 (5), 367-370, 2016
772016
Event-driven business process management: Where are we now?
T Kohlborn, O Mueller, J Poeppelbuss, M Roeglinger, J Krumeich, B Weis, ...
Business Process Management Journal, 2014
592014
Towards a component-based description of business models: A state-of-the-art analysis
J Krumeich, T Burkhart, D Werth, P Loos
542012
Determination of rule patterns in complex event processing using machine learning techniques
N Mehdiyev, J Krumeich, D Enke, D Werth, P Loos
Procedia Computer Science 61, 395-401, 2015
452015
Prescriptive control of business processes
J Krumeich, D Werth, P Loos
Business & Information Systems Engineering 58 (4), 261-280, 2016
392016
Big data analytics for predictive manufacturing control-a case study from process industry
J Krumeich, S Jacobi, D Werth, P Loos
2014 IEEE International Congress on Big Data, 530-537, 2014
352014
A comprehensive approach towards the structural description of business models
T Burkhart, S Wolter, M Schief, J Krumeich, C Di Valentin, D Werth, P Loos, ...
Proceedings of the International Conference on Management of Emergent …, 2012
262012
Vorgehensmodelle des Product-Service Systems Engineering
M Gräßle, O Thomas, T Dollmann
Hybride Wertschöpfung, 82-129, 2010
242010
Advanced planning and control of manufacturing processes in steel industry through big data analytics: Case study and architecture proposal
J Krumeich, D Werth, P Loos, J Schimmelpfennig, S Jacobi
2014 IEEE International Conference on Big Data (Big Data), 16-24, 2014
222014
Determination of event patterns for complex event processing using fuzzy unordered rule induction algorithm with multi-objective evolutionary feature subset selection
N Mehdiyev, J Krumeich, D Werth, P Loos
2016 49th Hawaii International Conference on System Sciences (HICSS), 1719-1728, 2016
182016
Viewpoint-Based Modeling-Towards Defining the Viewpoint Concept and Implications for Supporting Modeling Tools.
K Fischer, D Panfilenko, J Krumeich, M Born, P Desfray
EMISA, 123-136, 2012
17*2012
Integrating predictive analytics into complex event processing by using conditional density estimations
M Christ, J Krumeich, AW Kempa-Liehr
2016 IEEE 20th International Enterprise Distributed Object Computing …, 2016
142016
Towards an extended metamodel of event-driven process chains to model complex event patterns
J Krumeich, N Mehdiyev, D Werth, P Loos
International Conference on Conceptual Modeling, 119-130, 2015
132015
Integrierte Informationssysteme zur Unterstützung technischer Kundendienstleistungen
O Thomas, J Krumeich, M Fellmann
Hybride Wertschöpfung, 179-235, 2010
122010
Towards planning and control of business processes based on event-based predictions
J Krumeich, S Jacobi, D Werth, P Loos
International Conference on Business Information Systems, 38-49, 2014
112014
Interdependencies between Business Model Components–A Literature Analysis
J Krumeich, D Werth, P Loos
102013
Flexible support system for email-based processes: an empirical evaluation
T Burkhart, J Krumeich, D Werth, P Loos
International Journal of E-Business Development 2 (3), 77-85, 2012
102012
Business process learning on the job: A design science oriented approach and its empirical evaluation
J Krumeich, D Werth, P Loos
Knowledge Management & E-Learning: An International Journal 4 (4), 395-414, 2012
82012
Sensor event mining with hybrid ensemble learning and evolutionary feature subset selection model
N Mehdiyev, J Krumeich, D Werth, P Loos
2015 IEEE International Conference on Big Data (Big Data), 2159-2168, 2015
72015
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